Semantic querying of building knowledge graphs (KGs) underpins the integration of artificial intelligence into building operations, from natural-language access to cross-building analytics, but such KGs are rarely public owing to proprietary, security, and cost barriers. BuildGraph is a synthetic building KG dataset of...
Building automation systems are increasingly represented as semantic knowledge graphs (KGs) using ontologies such as Brick and ASHRAE 223P, creating a machine-readable substrate for artificial-intelligence applications. One promising application is translating natural-language questions into SPARQL (text-to-SPARQL), wh...
This study presents BuildOcc, an open-source Python platform that grounds large language model agents in the ATUS, a nationally representative diary dataset covering 16,684 respondents, and provides the building energy community with a reusable, openly available implementation of the occupant behavioral layer.
A contextual engineering framework that generates eco-feedback using a self-consistency with chain-of-thought prompt, leveraging household energy analysis data, utility rate structures, and household characteristic information contributes to realizing the next level of context-aware interactions between occupants and b...
Wooyoung Jung, Prosper Babon-Ayeng· Energy and Buildings· 1 citation
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